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Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|October 17, 2017
Multi-atlas-based segmentation of prostatic urethra from planning CT imaging to quantify dose distribution in prostate cancer radiotherapyOscar Acosta, Eugenia Mylona, Mathieu Le Dain, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|March 20, 2016
Quantification of dose uncertainties in cumulated dose estimation compared to planned dose in prostate IMRTMohamed Nassef, Antoine Simon, Guillaume Cazoulat, et al.
Frontiers in Oncology|October 12, 2020
Planning With Patient-Specific Rectal Sub-Region Constraints Decreases Probability of Toxicity in Prostate Cancer RadiotherapyCaroline Lafond, Anaïs Barateau, Joël N'Guessan, et al.
IEEE Journal of Biomedical and Health Informatics|June 23, 2016
MRI to CT Prostate Registration for Improved Targeting in Cancer External Beam RadiotherapyFrederic Commandeur, Antoine Simon, Romain Mathieu, et al.
IEEE Transactions on Bio-Medical Engineering|January 18, 2021
Towards a Reduced In Silico Model Predicting Biochemical Recurrence After Radiotherapy in Prostate CancerCarlos Sosa-Marrero, Renaud de Crevoisier, Alfredo Hernandez, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|March 1, 2014
A tensor-based population value decomposition to explain rectal toxicity after prostate cancer radiotherapyJuan David Ospina, Frédéric Commandeur, Richard Ríos, et al.
IEEE Journal of Biomedical and Health Informatics|July 12, 2014
A Novel Classification Method for Prediction of Rectal Bleeding in Prostate Cancer Radiotherapy Based on a Semi-Nonnegative ICA of 3D Planned Dose DistributionsJulie Coloigner, Auréline Fargeas, Amar Kachenoura, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 7, 2016
Weighted quantification of ¹⁸F-FDG tumor metabolism activity using fuzzy-thresholding to predict post-treatment tumor recurrenceGeoffrey Roman-Jimenez, Oscar Acosta, Julie Leseur, et al.
Journal of Clinical Laboratory Analysis|February 1, 2021
PUM1 and RNase P genes as potential cell-free DNA markers in breast cancerAlexis Murillo Carrasco, Oscar Acosta, Jaime Ponce, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 23, 2017
Random forests to predict tumor recurrence following cervical cancer therapy using pre- and per-treatment 18F-FDG PET parametersGeoffrey Roman-Jimenez, Oscar Acosta, Julie Leseur, et al.
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